Media Tools
therichardngai-code/gpt-image-2-pro-max
Two CLI tools for image generation + vision analysis using goclaw's provider-chain pattern.
Choose optimal external AI models for code analysis, bug investigation, and architectural decisions.
Install External Model Selection
$ npx skills add Microck/ordinary-claude-skills --skill external-model-selection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Microck/ordinary-claude-skills external-model-selection --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Microck/ordinary-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills_all/external-model-selection .claude/skills/external-model-selection && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "external-model-selection" agent skill from https://github.com/Microck/ordinary-claude-skills/tree/main/skills_all/external-model-selection into .claude/skills/external-model-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "external-model-selection", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Microck/ordinary-claude-skills/tree/main/skills_all/external-model-selectionType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Microck/ordinary-claude-skills --skill external-model-selection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Microck/ordinary-claude-skills external-model-selection --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Microck/ordinary-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills_all/external-model-selection .agents/skills/external-model-selection && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "external-model-selection" agent skill from https://github.com/Microck/ordinary-claude-skills/tree/main/skills_all/external-model-selection into .agents/skills/external-model-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "external-model-selection", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Microck/ordinary-claude-skills --skill external-model-selection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Microck/ordinary-claude-skills external-model-selection --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Microck/ordinary-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills_all/external-model-selection .cursor/skills/external-model-selection && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "external-model-selection" agent skill from https://github.com/Microck/ordinary-claude-skills/tree/main/skills_all/external-model-selection into .cursor/skills/external-model-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "external-model-selection", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Microck/ordinary-claude-skills.git --path skills_all/external-model-selection--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Microck/ordinary-claude-skills --skill external-model-selection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Microck/ordinary-claude-skills external-model-selection --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Microck/ordinary-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills_all/external-model-selection .gemini/skills/external-model-selection && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "external-model-selection" agent skill from https://github.com/Microck/ordinary-claude-skills/tree/main/skills_all/external-model-selection into .gemini/skills/external-model-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "external-model-selection", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Microck/ordinary-claude-skills external-model-selectionInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Microck/ordinary-claude-skills --skill external-model-selection -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Microck/ordinary-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills_all/external-model-selection .github/skills/external-model-selection && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "external-model-selection" agent skill from https://github.com/Microck/ordinary-claude-skills/tree/main/skills_all/external-model-selection into .github/skills/external-model-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "external-model-selection", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Microck/ordinary-claude-skills --skill external-model-selection -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Microck/ordinary-claude-skills external-model-selection --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Microck/ordinary-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills_all/external-model-selection .opencode/skills/external-model-selection && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "external-model-selection" agent skill from https://github.com/Microck/ordinary-claude-skills/tree/main/skills_all/external-model-selection into .opencode/skills/external-model-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "external-model-selection", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
external-model-selection- GitHub stars
- 403
- Token cost
- ~4.4k tokens
- SKILL.md length
- 1,536 words
- Files
- 2
- Skills in repo
- 91
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Choose optimal external AI models for code analysis, bug investigation, and architectural decisions.
- Works in 9 steps: ALWAYS Use 10-Minute Timeout → Launch Models in Parallel (Single Message) → Agent Return Format (Keep Brief!) → …
- Consulting multiple LLMs via claudish
- SKILL.md covers Quick Reference: Top Models, Consultation Strategies, Decision Tree: Which Strategy? and Critical Implementation Details, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
External Model Selection is an agent skill from Microck/ordinary-claude-skills. Choose optimal external AI models for code analysis, bug investigation, and architectural decisions. Use when consulting multiple LLMs via claudish, comparing model perspectives, or investigating complex Go/LSP/transpiler issues. Provides empirically validated model rankings (91/100 for MiniMax M2, 83/100 for Grok Code Fast) and proven consultation strategies based on real-world testing.
Its SKILL.md is about 4.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).
It sits in Development, covering Model routing and gateways. It works with MiniMax and OpenAI. The repository describes itself as: An unappealing collection of Claude Skills and resources.
When your agent uses it
- Consulting multiple LLMs via claudish
- Comparing model perspectives
- Investigating complex Go/LSP/transpiler issues
Example prompts
- “/external-model-selection”
Requirements
- Python 3
Workflow steps
9 steps, taken from the step headings in SKILL.md.
- ALWAYS Use 10-Minute Timeout
- Launch Models in Parallel (Single Message)
- Agent Return Format (Keep Brief!)
- File-Based Communication
- Create Session
- Write Investigation Prompt
- Choose Strategy
- Launch Agents in Parallel
- Consolidate
What it can do on your machine
Read from SKILL.md and the folder at commit 1056d29. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash, python and markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
External Model Selection loads about 4.4k tokens when it runs. Until then it costs about 104 tokens; SKILL.md has 1,536 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,536 words (~4,361 tokens).
“Purpose: Select the best external AI models for your specific task based on empirical performance data from production bug investigations.”
- name
- external-model-selection
Files
SKILL.md and 1 other file in skills_all/external-model-selection of Microck/ordinary-claude-skills.
- SKILL.md
- metadata.json
Open the folder on GitHubat commit 1056d29
Compare with similar skills
External Model Selection next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| External Model Selection this skillMicrock/ordinary-claude-skills | 403 | — | ~4.4k | Automated safety check: Pass | Custom licence | |
| Media Toolstherichardngai-code/gpt-image-2-pro-max | 101 | — | ~1.5k | Automated safety check: Notes | MIT | |
| Baoyu ImagineLeoYeAI/openclaw-master-skills | 2.2k | — | ~5.1k | Automated safety check: Notes | MIT | |
| Proxy Mode ReferenceMadAppGang/claude-code | 284 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Error Handlingmajiayu000/litellm-rs | 117 | — | ~2k | Automated safety check: Pass | MIT | |
| Provider Integrationhex/claude-council | 848 | — | ~635 | Automated safety check: Pass | MIT |
Similar skills
Baoyu Imagine
LeoYeAI/openclaw-master-skills
AI image generation with OpenAI, Azure OpenAI, Google, OpenRouter, DashScope, MiniMax, Jimeng, Seedream and Replicate APIs.
Proxy Mode Reference
MadAppGang/claude-code
Reference guide for using external AI models via claudish CLI.
Error Handling
majiayu000/litellm-rs
LiteLLM-RS Error Handling Architecture. An agent skill from majiayu000/litellm-rs.
Provider Integration
hex/claude-council
Adds new AI providers to claude-council, configures provider API settings, troubleshoots provider connections, and documents the provider script interface.
Config Architecture
majiayu000/litellm-rs
LiteLLM-RS Configuration Architecture. An agent skill from majiayu000/litellm-rs.
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Related
Categories
Questions about External Model Selection
What does External Model Selection do?
Choose optimal external AI models for code analysis, bug investigation, and architectural decisions. External Model Selection is an agent skill from Microck/ordinary-claude-skills. Choose optimal external AI models for code analysis, bug investigation, and architectural decisions.
When should I use External Model Selection?
External Model Selection fits situations like: consulting multiple LLMs via claudish; comparing model perspectives; investigating complex Go/LSP/transpiler issues.
How do I install External Model Selection in Claude Code?
Run `npx skills add Microck/ordinary-claude-skills --skill external-model-selection -a claude-code`. Or copy the skill folder (skills_all/external-model-selection in Microck/ordinary-claude-skills) into .claude/skills/external-model-selection in your project. Claude Code loads it when a task matches its description.
How do I install External Model Selection in Codex?
Run `npx skills add Microck/ordinary-claude-skills --skill external-model-selection -a codex`. Or copy the skill folder (skills_all/external-model-selection in Microck/ordinary-claude-skills) into .agents/skills/external-model-selection in your project. Codex loads it when a task matches its description.
Can I use External Model Selection in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Microck/ordinary-claude-skills --skill external-model-selection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/external-model-selection, .gemini/skills/external-model-selection, .github/skills/external-model-selection and .opencode/skills/external-model-selection in your project.
What does External Model Selection need to run?
SKILL.md names no scripts, command-line tools or credentials: External Model Selection is instructions for the agent only. Our summary lists: Python 3.
Does External Model Selection access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is External Model Selection safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does External Model Selection use?
External Model Selection has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does External Model Selection use?
About 4.4k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to External Model Selection?
Skills that share tags, products or a category with External Model Selection: Media Tools (therichardngai-code/gpt-image-2-pro-max, 101 stars), Baoyu Imagine (LeoYeAI/openclaw-master-skills, 2.2k stars), Proxy Mode Reference (MadAppGang/claude-code, 284 stars) and Error Handling (majiayu000/litellm-rs, 117 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains External Model Selection?
Microck (a GitHub user) maintains it in Microck/ordinary-claude-skills, which has 403 GitHub stars. The repository holds 91 skills in this directory. The repository was last updated on September 6, 2026.
Source: Microck/ordinary-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.